ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1904.11943
  4. Cited By
SWALP : Stochastic Weight Averaging in Low-Precision Training

SWALP : Stochastic Weight Averaging in Low-Precision Training

26 April 2019
Guandao Yang
Tianyi Zhang
Polina Kirichenko
Junwen Bai
A. Wilson
Christopher De Sa
ArXivPDFHTML

Papers citing "SWALP : Stochastic Weight Averaging in Low-Precision Training"

13 / 13 papers shown
Title
Variants of SGD for Lipschitz Continuous Loss Functions in Low-Precision
  Environments
Variants of SGD for Lipschitz Continuous Loss Functions in Low-Precision Environments
Michael R. Metel
25
1
0
09 Nov 2022
DarKnight: An Accelerated Framework for Privacy and Integrity Preserving
  Deep Learning Using Trusted Hardware
DarKnight: An Accelerated Framework for Privacy and Integrity Preserving Deep Learning Using Trusted Hardware
H. Hashemi
Yongqin Wang
M. Annavaram
FedML
24
58
0
30 Jun 2022
Closing the Generalization Gap of Cross-silo Federated Medical Image
  Segmentation
Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation
An Xu
Wenqi Li
Pengfei Guo
Dong Yang
H. Roth
Ali Hatamizadeh
Can Zhao
Daguang Xu
Heng-Chiao Huang
Ziyue Xu
FedML
30
51
0
18 Mar 2022
QDrop: Randomly Dropping Quantization for Extremely Low-bit
  Post-Training Quantization
QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization
Xiuying Wei
Ruihao Gong
Yuhang Li
Xianglong Liu
F. Yu
MQ
VLM
19
166
0
11 Mar 2022
Stability Based Generalization Bounds for Exponential Family Langevin
  Dynamics
Stability Based Generalization Bounds for Exponential Family Langevin Dynamics
A. Banerjee
Tiancong Chen
Xinyan Li
Yingxue Zhou
23
8
0
09 Jan 2022
SAE: Sequential Anchored Ensembles
SAE: Sequential Anchored Ensembles
Arnaud Delaunoy
Gilles Louppe
UQCV
BDL
11
0
0
30 Dec 2021
Whole Brain Segmentation with Full Volume Neural Network
Whole Brain Segmentation with Full Volume Neural Network
Yeshu Li
Jianwei Cui
Yilun Sheng
Xiao Liang
Jingdong Wang
E. Chang
Yan Xu
29
11
0
29 Oct 2021
Perturbated Gradients Updating within Unit Space for Deep Learning
Perturbated Gradients Updating within Unit Space for Deep Learning
Ching-Hsun Tseng
Liu Cheng
Shin-Jye Lee
Xiaojun Zeng
38
5
0
01 Oct 2021
Stochastic Weight Averaging in Parallel: Large-Batch Training that
  Generalizes Well
Stochastic Weight Averaging in Parallel: Large-Batch Training that Generalizes Well
Vipul Gupta
S. Serrano
D. DeCoste
MoMe
30
55
0
07 Jan 2020
Sparse Weight Activation Training
Sparse Weight Activation Training
Md Aamir Raihan
Tor M. Aamodt
32
72
0
07 Jan 2020
QPyTorch: A Low-Precision Arithmetic Simulation Framework
QPyTorch: A Low-Precision Arithmetic Simulation Framework
Tianyi Zhang
Zhiqiu Lin
Guandao Yang
Christopher De Sa
MQ
21
64
0
09 Oct 2019
Incremental Network Quantization: Towards Lossless CNNs with
  Low-Precision Weights
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
Aojun Zhou
Anbang Yao
Yiwen Guo
Lin Xu
Yurong Chen
MQ
319
1,049
0
10 Feb 2017
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
281
2,889
0
15 Sep 2016
1